A biologically inspired MANET architecture

Mobile Ad-Hoc Networks (MANETs), that do not rely on pre-existing infrastructure and that can adapt rapidly to changes in their environment, are coming into increasingly wide use in military applications. At the same time, the large computing power and memory available today even for small, mobile devices, allows us to build extremely large, sophisticated and complex networks. Such networks, however, and the software controlling them are potentially vulnerable to catastrophic failures because of their size and complexity. Biological networks have many of these same characteristics and are potentially subject to the same problems. But in successful organisms, these biological networks do in fact function well so that the organism can survive. In this paper, we present a MANET architecture developed based on a feature, called homeostasis, widely observed in biological networks but not ordinarily seen in computer networks. This feature allows the network to switch to an alternate mode of operation under stress or attack and then return to the original mode of operation after the problem has been resolved. We explore the potential benefits such an architecture has, principally in terms of the ability to survive radical changes in its environment using an illustrative example.

[1]  Victor Szebehely,et al.  Review of concepts of stability , 1984 .

[2]  Nathan Linial,et al.  Collective coin flipping, robust voting schemes and minima of Banzhaf values , 1985, 26th Annual Symposium on Foundations of Computer Science (sfcs 1985).

[3]  C. H. Waddington,et al.  How Animals Develop , 1936 .

[4]  Johan Auwerx,et al.  Evaluation of Glucose Homeostasis , 2007, Current protocols in molecular biology.

[5]  Hugh LaFollette,et al.  Animal experimentation: The legacy of Claude Bernard , 1994 .

[6]  Sanjay Jain,et al.  The regulatory network of E. coli metabolism as a Boolean dynamical system exhibits both homeostasis and flexibility of response , 2007 .

[7]  Johan Auwerx,et al.  Evaluation of Energy Homeostasis , 2006, Current protocols in molecular biology.

[8]  D. Plenz,et al.  Homeostasis of neuronal avalanches during postnatal cortex development in vitro , 2008, Journal of Neuroscience Methods.

[9]  David Wetherall,et al.  Towards an active network architecture , 1996, CCRV.

[10]  Leslie Lamport,et al.  The Byzantine Generals Problem , 1982, TOPL.

[11]  D E Bauman,et al.  Partitioning of nutrients during pregnancy and lactation: a review of mechanisms involving homeostasis and homeorhesis. , 1980, Journal of dairy science.

[12]  I. Goryanin,et al.  Resilience of Cholesterol Concentration to a Wide Range of Mutations in the Cell , 2004, Complexus.

[13]  Bob Moore Policy Core Information Model (PCIM) Extensions , 2003, RFC.

[14]  T. Makinen,et al.  Lymphatic vasculature: a molecular perspective , 2007, BioEssays : news and reviews in molecular, cellular and developmental biology.

[15]  Jeffrey O. Kephart,et al.  The Vision of Autonomic Computing , 2003, Computer.

[16]  Frank Schweda,et al.  Renin release. , 2007, Physiology.

[17]  A. Cowley,et al.  Genomics and homeostasis. , 2003, American journal of physiology. Regulatory, integrative and comparative physiology.

[18]  Raghuraman Mudumbai,et al.  On the Feasibility of Distributed Beamforming in Wireless Networks , 2007, IEEE Transactions on Wireless Communications.